Sebastiano Saccani

According to our database, Sebastiano Saccani authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators.

Davide Scassola, Andrea Coser, Sebastiano Saccani

CoRR, May, 2026

A Sobering Look at Tabular Data Generation via Probabilistic Circuits.

Davide Scassola, Dylan Ponsford, Adrián Javaloy, Sebastiano Saccani, Luca Bortolussi, Henry Gouk, Antonio Vergari

CoRR, March, 2026

Graph-Conditional Flow Matching for Relational Data Generation.

Davide Scassola, Sebastiano Saccani, Luca Bortolussi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Empirical Evaluation of Structured Synthetic Data Privacy Metrics: Novel experimental framework.

Milton Nicolás Plasencia Palacios, Alexander T. P. Boudewijn, Sebastiano Saccani, Andrea Filippo Ferraris, Diana Sofronieva, Giuseppe D'Acquisto, Filiberto Brozzetti, Daniele Panfilo, Luca Bortolussi

CoRR, December, 2025

Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets.

Milton Nicolás Plasencia Palacios, Sebastiano Saccani, Gabriele Sgroi, Alexander T. P. Boudewijn, Luca Bortolussi

CoRR, February, 2025

Meta-learning approach for variational autoencoder hyperparameter tuning.

Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

J. Univers. Comput. Sci., 2025

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints.

Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2023

Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints.

Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi

CoRR, 2023

A Deep Learning-Based Pipeline for the Generation of Synthetic Tabular Data.

Daniele Panfilo, Alexander T. P. Boudewijn, Sebastiano Saccani, Andrea Coser, Borut Svara, Carlo Rossi Chauvenet, Ciro Antonio Mami, Eric Medvet

IEEE Access, 2023

2022

Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders.

Ciro Antonio Mami, Andrea Coser, Eric Medvet, Alexander T. P. Boudewijn, Marco Volpe, Michael Whitworth, Borut Svara, Gabriele Sgroi, Daniele Panfilo, Sebastiano Saccani

CoRR, 2022